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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.CV2026

ProtoPointNet: Prototype-Based Interpretable Classification of 3D Dental Point Clouds with Verifiable Spatial Activations

George V. Jose, Thao Liang Chiam, Toby Hughes +4

The paper presents ProtoPointNet, a prototype-based neural network that classifies 3D dental point clouds of upper‑lower arch pairs while providing interpretable, spatially grounde…

cs.CV2026

Neuron Incidence Redistribution for Fairness in Medical Image Classification

Abin Shoby, Lyle John Palmer, Nikhil Cherian Kurian

Deep learning models for medical image classification are susceptible to subgroup performance disparities across demographic attributes such as age, gender, and race. We identify a…

cs.CV2026

Robust Mitigation of Age-Dependent Confounding Effects via Sample-Difficulty Decorrelation

Nikhil Cherian Kurian, Victor Caquilpan Parra, Abin Shoby +2

Age dependent performance disparities in medical image classification often arise because age acts as a confounder, linking imaging morphology with disease prevalence. In practice,…

cs.LG2026

Worst-Group Equalized Odds Regularization for Multi-Attribute Fair Medical Image Classification

Nikhil Cherian Kurian, Victor Caquilpan Parra, Abin Shoby +6

Diagnostic performance in medical AI varies systematically across demographic groups, yet subgroup AUC can mask clinically important disparities. At a fixed inference-time operatin…

eess.IV2024

PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images

Akhila Krishna, Nikhil Cherian Kurian, Abhijeet Patil +2

Accurate survival prediction is essential for personalized cancer treatment. However, genomic data - often a more powerful predictor than pathology data - is costly and inaccessibl…

eess.IV2024

Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training

Abhijeet Patil, Harsh Diwakar, Jay Sawant +5

Histopathology whole slide images (WSIs) are being widely used to develop deep learning-based diagnostic solutions, especially for precision oncology. Most of these diagnostic soft…